Muttdata

Machine Learning Engineer Senior

Muttdata
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over 3 years ago
Buenos Aires, ArgentinaSenior

Responsibilities

  • Develop, optimize, monitor, and integrate scalable machine learning models using MLOps best practices.
  • Implement client requirements from exploratory data analysis and feature engineering through model lifecycle management.
  • Build machine learning proof-of-concepts to validate and refine solutions.
  • Optimize models for performance, latency, memory usage, and throughput.
  • Apply statistical analysis techniques and develop regression models.
  • Design and maintain feature stores and data pipelines for machine learning workflows.
  • Research and implement emerging machine learning and AI techniques.
  • Collaborate with stakeholders to align technical solutions with business needs.

Requirements

  • Experience implementing ML-based systems, including model lifecycle management, monitoring, and MLOps pipeline setup.
  • Strong proficiency in Python, Pandas, NumPy, Jupyter, Scikit-learn, XGBoost, and Plotly.
  • Knowledge of SQL.
  • Experience with AWS, GCP, or Azure.
  • Preferred experience with Airflow, MLflow, H2O.ai, Databricks, or similar ML workflows.
  • Preferred background in modern LLM technologies.
  • Preferred understanding of Keras, PyTorch, or TensorFlow.
  • Basic knowledge of Docker is preferred.
  • Databricks experience with Workflows, Jobs, and Repos is preferred.

Benefits

  • Remote-first culture with the ability to work from anywhere.
  • In-company English lessons.
  • Wellhub or sports club stipend.
  • AWS, dbt, Google Cloud, Azure, and Databricks certifications fully covered.
  • Food credits through Pedidos Ya.
  • Birthday off and an additional vacation week.
  • Referral bonuses.
  • Annual team trip.
  • Monthly childcare reimbursement.

Tech Stack

Apache AirflowAWSAzureDatabricksdbtDockerGoogle Cloud PlatformH2O.aiKerasMLflowNumPyPandasPythonPyTorchscikit-learnSQLTensorFlowXGBoost

Categories

Muttdata

About Muttdata

51-200 employees

Muttdata provides consulting and delivery of custom machine-learning and AI systems, data platforms, and big-data pipelines for digital-native startups and enterprises. The privately held company, founded in 2017 and headquartered in Buenos Aires, is an AWS Advanced Consulting Partner with the AWS Advertising and Marketing Technologies Competency. Notable customers include Mercado Libre, Coca-Cola FEMSA Mexico, ClassDojo, and PayClip.

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